Governing environmental risk, particularly large-scale transboundary risks associated with climate change and pollution, is one of the most pressing problems facing society . This book focuses on a set of key questions relating to environmental regulation: How are activities regulated in a fragmented world - a world of nation states, regulators, domestic and international law and political contests - and one in which a range of actors, such as governments, corporations and NGOs act in order to influence regulations in specific policy areas? How are complex and trans-boundary environmental issues managed? What role does expert knowledge play in regulating this kind of issues? What give rules authority? In short, how do actors try to render an issue governable? Drawing on regulation theory, discourse theory and science and technology studies, and employing original research, the authors analyse the regulation of four kinds of complex and trans-boundary environmental issues: oil protection in the Baltic Sea, mobile phones and radiation protection, climate change adaptation and genetically modified crops. The outcomes include insights for policymakers, regulators and researchers into how dominant frames are constructed, legitimate actors are configured and authority is established. This in turn exposes the conditions for, and possibility of, developing regulation, making authoritative rules and shaping relevant knowledge in order to govern complex environmental risks.

1. Fully aligned to the NEBOSH International Certificate in Health and Safety (IGC) 2019 syllabus 2. An authoritative and helpful study guide for the c.30,000 students a year worldwide pursuing the IGC qualification 3. Written by renowned health and safety expert and former NEBOSH Vice Chairman Dr Ed Ferrett 4. Accessible text design, clearly mapping out key learning outcomes and revision points for easy learning and memorization 5. Companion guide to the 4th edition of the renowned International Health and Safety at Work textbook

International Health and Safety at Work has been specially written in simple English for the thousands of students who complete the NEBOSH International General Certificate in Health and Safety each year. Fully revised in alignment with the 2019 syllabus, this fourth edition provides students with all they need to tackle the course with confidence. Clear, easily accessible information is presented in full colour, with discussion of essential principles such as ILO and OSH conventions as well as legal frameworks from a range of countries. The book features practice questions and answers to test knowledge and increase understanding. International Health and Safety at Work remains the most effective tool for those working to fit international health and safety standards to local needs and practice.

The media landscape has changed, and children and adolescents now face a tsunami of entertainment and information. How they sort through this may have significant effects on their education and their health. We've called on some of the world's media experts to discuss what the crucial issues are and what teachers, administrators, schools, parents, and health professionals can do about them - hence, the title - Masters of Media.

This book provides a perspective on a number of financial modelling analytics and risk management. The book begins with extensive outline of GLM estimation techniques combined with the proof of its fundamental results. Applications of static and dynamic models provide a unified approach to the estimation of nonlinear risk models. The book then examines the definition of risks and their management, with particular emphasis on the importance of bi-modal distributions for financial regulation. Chapters also cover the implications of stress testing and the noncyclical CAR (Capital Adequacy Rule). The next section highlights financial modelling analytic approaches and techniques including an overview of memory based financial models, spanning non-memory models, long run and short memory. Applications of these models are used to highlight their variety and their importance to Financial Analytics. Subsequent chapters offer an extensive overview of multi-fractional models and their important applications to Asset price modeling (from Fractional to Multi-fractional Processes), and a look at the binomial pricing model by discussing the effects of memory on the pricing of asset prices. The book concludes with an examination of an algorithmic future perspective to real finance.

The chapters in "Future Perspectives in Risk Models and Finance" are concerned with both theoretical and practical issues. Theoretically, financial risks models are models of certainty, based on information and rules that are both available and agree to by their user. Empirical and data finance however, has provided a bridge between theoretical constructs risks models and the empirical evidence that these models entail. Numerous approaches are then used to model financial risk models, emphasizing mathematical and stochastic models based on the fundamental theoretical tenets of finance and others departing from the fundamental assumptions of finance. The underlying mathematical foundations of these risks models provide a future guideline for risk modeling. Both static and dynamic risk models are then considered. The chapters in this book provide selective insights and developments, that can contribute to a greater understanding the complexity of financial modelling and its ability to bridge financial theories and their practice. Risk models are models of uncertainty, and therefore all risk models are an expression of perceptions, priorities, needs and the information we have. In this sense, all risks models are complex hypotheses we have constructed and based on what we have or believe . Risk models are then challenged by their definition, are risk definition defining in fact prospective risks? By their estimation, what data can we apply to estimate risk processes and how can we do so? How should we use the data and the models at hand for useful and constructive end. "

In the decades following World War II, the science of decision-making moved from the periphery to the center of transatlantic thought. The Decisionist Imagination explores how "decisionism" emerged from its origins in prewar political theory to become an object of intense social scientific inquiry in the new intellectual and institutional landscapes of the postwar era. By bringing together scholars from a wide variety of disciplines, this volume illuminates how theories of decision shaped numerous techno-scientific aspects of modern governance-helping to explain, in short, how we arrived at where we are today.

Multi-objective programming (MOP) can simultaneously optimize multi-objectives in mathematical programming models, but the optimization of multi-objectives triggers the issue of Pareto solutions and complicates the derived answers. To address these problems, researchers often incorporate the concepts of fuzzy sets and evolutionary algorithms into MOP models. Focusing on the methodologies and applications of this field, Fuzzy Multiple Objective Decision Making presents mathematical tools for complex decision making. The first part of the book introduces the most popular methods used to calculate the solution of MOP in the field of multiple objective decision making (MODM). The authors describe multi-objective evolutionary algorithms; expand de novo programming to changeable spaces, such as decision and objective spaces; and cover network data envelopment analysis. The second part focuses on various applications, giving readers a practical, in-depth understanding of MODM. A follow-up to the authors' Multiple Attribute Decision Making: Methods and Applications, this book guides practitioners in using MODM methods to make effective decisions. It also extends students' knowledge of the methods and provides researchers with the foundation to publish papers in operations research and management science journals.

Whether man-made or naturally occurring, large-scale disasters can cause fatalities and injuries, devastate property and communities, savage the environment, impose significant financial burdens on individuals and firms, and test political leadership. Moreover, global challenges such as climate change and terrorism reveal the interdependent and interconnected nature of our current moment: what occurs in one nation or geographical region is likely to have effects across the globe. Our information age creates new and more integrated forms of communication that incur risks that are difficult to evaluate, let alone anticipate. All of this makes clear that innovative approaches to assessing and managing risk are urgently required. When catastrophic risk management was in its inception thirty years ago, scientists and engineers would provide estimates of the probability of specific types of accidents and their potential consequences. Economists would then propose risk management policies based on those experts' estimates with little thought as to how this data would be used by interested parties. Today, however, the disciplines of finance, geography, history, insurance, marketing, political science, sociology, and the decision sciences combine scientific knowledge on risk assessment with a better appreciation for the importance of improving individual and collective decision-making processes. The essays in this volume highlight past research, recent discoveries, and open questions written by leading thinkers in risk management and behavioral sciences. The Future of Risk Management provides scholars, businesses, civil servants, and the concerned public tools for making more informed decisions and developing long-term strategies for reducing future losses from potentially catastrophic events. Contributors: Mona Ahmadiani, Joshua D. Baker, W. J. Wouter Botzen, Cary Coglianese, Gregory Colson, Jeffrey Czajkowski, Nate Dieckmann, Robin Dillon, Baruch Fischhoff, Jeffrey A. Friedman, Robin Gregory, Robert W. Klein, Carolyn Kousky, Howard Kunreuther, Craig E. Landry, Barbara Mellers, Robert J. Meyer, Erwann Michel-Kerjan, Robert Muir-Wood, Mark Pauly, Lisa Robinson, Adam Rose, Paul J. H. Schoemaker, Paul Slovic, Phil Tetlock, Daniel Vastfjall, W. Kip Viscusi, Elke U. Weber, Richard Zeckhauser.

The media landscape has changed, and children and adolescents now face a tsunami of entertainment and information. How they sort through this may have significant effects on their education and their health. We've called on some of the world's media experts to discuss what the crucial issues are and what teachers, administrators, schools, parents, and health professionals can do about them - hence, the title - Masters of Media.

This text is a call to action. The title Escape from Teaching may sound a bit like an imperative. However, much of the recent findings from educational and brain research, especially regarding the potential benefits of informal and self-structured learning, are never realized in educational practice. It is time to ask: What did we really learn from all those years that we spent in instructional and often insulting contexts? What have we got to show from our formal education and what can we become as a result of this experience? What do we forget in such contexts and did it deprive us of our self-confidence and self-structuring skills? What consequences are associated with seeking and testing can equip us with permanent skills and abilities? How could educational institutions change to become places for successful self-directed skills development? And, how can we, as individuals and as a society, develop the potential that rests within us all?

Through its exploration of the spatial dimension of risk, this book offers a brand new approach to theorizing risk, and significant improvements in how to manage, tolerate and take risks. A broad range of risks are examined, including natural hazards, climate change, political violence, and state failure. Case studies range from the Congo to Central Asia, from tsunami in Japan and civil war affected areas in Sri Lanka to avalanche hazards in Austria. In each of these cases, the authors examine the importance and role of space in the causes and differentiation of risk, in how we can conceptualize risk from a spatial perspective and in the relevance of space and locality for risk governance. This new approach endorsed by Ragnar L fstedt and Ortwin Renn, two of the world's leading and most prolific risk analysts is essential reading for those charged with studying, anticipating and managing risks.

Why are vast sums spent on controlling some risks but not others? Is there any logic to the techniques we use in risk regulation? These are key questions explored in The Government of Risk. This book exposes the components of risk regulation systems and examines their interaction and explanation. The approach employed is of a high policy relevance as well as of considerable theoretical importance.

People Risk Management provides unique depth to a topic that has garnered intense interest in recent years. Based on the latest thinking in corporate governance, behavioural economics, human resources and operational risk, people risk can be defined as the risk that people do not follow the organization's procedures, practices and/or rules, thus deviating from expected behaviour in a way that could damage the business's performance and reputation. From fraud to bad business decisions, illegal activity to lax corporate governance, people risk - often called conduct risk - presents a growing challenge in today's complex, dispersed business organizations. Framed by corporate events and challenges and including case studies from the LIBOR rate scandal, the BP oil spill, Lehman Brothers, Royal Bank of Scotland and Enron, People Risk Management provides best-practice guidance to managing risks associated with the behaviour of both employees and those outside a company. It offers practical tools, real-world examples, solutions and insights into how to implement an effective people risk management framework within an organization.

In the last two decades there has been a flourishing research carried out jointly by economists, psychologists and neuroscientists. This meltdown of competences has lead towards original approaches to investigate the mental and cognitive mechanisms involved in the way the economic agent collects, processes and uses information to make choices. This research field involves a new kind of scientist, trained in different disciplines, familiar in managing experimental data, and with the mathematical foundations of decision making. The ultimate goal of this research is to open the black-box to understandthe behavioural and neural processes through which humans set preferences and translate these behaviours into optimal choices. This volume intends to bring forward new results and fresh insights into this matter.

Containing contributions from well-respected international researchers into decision making, the book examines the nature of the psychological processes underlying decision making, and addresses a range of topics including the role of emotions, coping with uncertainty, time pressure, and confidence in decisions. "Decision Making" first places the process approach to decision research in a historical and theoretical context, providing a critical evaluation of its principal research methods. The contributors then consider various influences upon decision making, risk and uncertainty; a final section examines time pressure, the effects of past decisions, and post-decision processes. Decision making is regarded as an interaction between the decision maker, problem and context, and is thus placed in a social environment.

This book aims to encourage a more reflective, multidisciplinary approach to public safety, and the 'reenfranchisement' of those affected by this new phenomenon. Over the past decade health and safety has become a major issue of public interest. There are countless stories of health and safety activities interfering with public life, preventing some beneficial activity from taking place - even creating absurd or dangerous situations. On the one hand, risk assessment, properly conducted, is highly beneficial - it saves lives and prevents injuries. But on the other, it can damage public life. Why has this come about, and does it have to be like that? The authors examine the origins of the problem, look critically at the tools used by safety assessors and their underlying assumptions, and consider important differences between public life and industry (where the approaches largely originated). They illuminate the whole with an analysis of legal requirements, attitudes of stakeholders, and recent research on risk perception and decision making. The result is a profound and important analysis of risk and safety culture and a framework for managing public safety more effectively.

Highly practical and useful for practitioners - cuts through a highly technical and complex subject in a useable and easy to follow way but without 'dumbing down'. Focuses on the facilitation of risk management, an area that is glossed over or simply ignored in other books on risk management. Brand new chapters on virtual facilitation and the role of group bias in the assessment of risk.

Engineering systems and products are an important element of the world economy and each year billions of dollars are spent to develop, manufacture, operate, and maintain systems and products around the globe. Because of this, global competition is requiring reliability professionals to work closely with other departments involved in engineering development during the product design and manufacturing phase. Applied Reliability for Engineers is an attempt to meet the need for a single volume that addresses a wide range of applied reliability topics. The material is treated in such a manner that the reader will require no previous knowledge to understand the text. The sources of most of the information presented are given in a reference section at the end of each chapter. At appropriate places, the book contains examples along with their solutions. At the end of each chapter there are numerous problems to test reader comprehension. This volume is thus suitable for use as a textbook as well as for reference. Applied Reliability for Engineers is useful to design professionals, system engineers, reliability specialists, graduate and senior undergraduate students, researchers and instructors of reliability engineering, and engineers-at-large.

Decision makers are often faced with several conflicting alternatives. How do they evaluate trade-offs when there are more than three criteria? To help people make optimal decisions, scholars in the discipline of multiple criteria decision making (MCDM) continue to develop new methods for structuring preferences and determining the correct relative weights for criteria. A compilation of modern decision-making techniques, Multiple Attribute Decision Making: Methods and Applications focuses on the fuzzy set approach to multiple attribute decision making (MADM). Drawing on their experience, the authors bring together current methods and real-life applications of MADM techniques for decision analysis. They also propose a novel hybrid MADM model that combines DEMATEL and analytic network process (ANP) with VIKOR procedures.

The first part of the book focuses on the theory of each method and includes examples that can be calculated without a computer, providing a complete understanding of the procedures. Methods include the analytic hierarchy process (AHP), ANP, simple additive weighting method, ELECTRE, PROMETHEE, the gray relational model, fuzzy integral technique, rough sets, and the structural model. Integrating theory and practice, the second part of the book illustrates how methods can be used to solve real-world MADM problems. Applications covered in the book include:

• AHP to select planning and design services for a construction project
• TOPSIS and VIKOR to evaluate the best alternative-fuel vehicles for urban areas
• ELECTRE to solve network design problems in urban transportation planning
• PROMETEE to set priorities for the development of new energy systems, from solar thermal to hydrogen energy
• Fuzzy integrals to evaluate enterprise intranet web sites
• Rough sets to make decisions in insurance marketing

Helping readers understand how to apply MADM techniques to their decision making, this book is suitable for undergraduate and graduate students as well as practitioners.

Bridging an identified gap between research and practice in the domain of risk and organizational learning with respect to human/organizational factors and organizational behaviour, this book highlights the common and recurring threads in contributory factors to accident causation. Based on an extensive research project, it investigates how shipping companies as organizations learn from, filter and give credence/acceptability to differing risk perceptions and how this influences the work culture with special regard to group/team dynamics and individual motivation. The work is presented in the context of the literature regarding conceptual links between risk and the theoretical and operational themes of organizational learning, and in light of interviewees' comments. The themes include processes and structures of knowledge acquisition, information interpretation and distribution, organizational memory and change/adaptation and also levels of learning. The book concludes by discussing some practical implications of the research carried out in various maritime contexts and gives recommendations for the industry and other stakeholders.

Change in organizations can arise spontaneously, or it can begin in response to a planned process of change. Even planned change is not as predictable as one might like it to be; it is often partial or incomplete, or the results of change may not be what one hoped. The aspects of an organization that resist change can be vital to an organization's success, helping to keep it firm, stable, and robust. Why Organizational Change Fails aims to make change managers and OD consultants sensitive to signals of the robust part of an organization, helping them to see something different than they usually see: signs of change. The authors distinguish two aspects of stability in organisations: robustness and tenacity. Robustness is the ability of organisations to remain stable under changing conditions. Tenacity is the reaction of a robust system to planned change. Each of these aspects has its own unique qualities and value within organizations. In the book, the authors describe three aspects of robustness: social, cognitive and political. They also describe healthy and unhealthy forms. Tenacity is described in three patterns: bouncing back, smothering and calculating. Each chapter of the book is preceded by an essay written by a leading scientist designed to help provide real-world context for the process of change and offering insights for the reader on either side of the change equation.

In the current political climate of the U.S., newcomer immigrant and refugee students seeking an education and a better life for themselves face their most uncertain future yet. Particularly, English learners who have experienced interrupted or limited schooling in their home country and language face challenges in adjusting to a new environment. They deserve differentiated support to succeed both in school and in their new communities. What sets this book apart are the student stories which shed light on the significant resilience they exhibit despite many obstacles faced during all stages of migration. This includes immigration hurdles, housing instability, negative stereotyping and, for some students, the difficult experience of crossing the border as an unaccompanied minor. In Creating Responsive Classroom Communities for Newcomers, readers will hear from educators, counselors and students in a study of 4 high schools across New York State. They will learn what is being done to develop classrooms and schools that can be culturally and linguistically responsive to the needs of diverse newcomer students with interrupted schooling. The book shares observations and details of a SIFE-centered English Language Arts curriculum developed with these students' needs in mind, including best practices in both academic instruction and in cultivating a welcoming classroom culture that builds upon student strengths and background knowledge. Readers will come away with a deeper understanding not only of the challenges these students face but also ideas for strategies to better serve them by transforming and improving their own school communities.

For decades schools have invested substantial resources in boosting educational outcomes for disadvantaged students, but those investments have not always generated positive outcomes. Although many communities have expanded school choice, for example, families often choose to keep their children in failing schools. And while the federal government has increased the size of Pell Grants, many college-bound students who would be eligible for aid never apply. Then there is the troubling trend of "summer melt," in which up to 40 percent of high school graduates who have been accepted to college, mostly from under served communities, fail to show up for the fall semester. In The 160-Character Solution, Benjamin L Castleman shows how insights from behavioral economics-the study of how social, cognitive, and emotional factors affect our decisions - can be leveraged to help students complete assignments, perform to their full potential on tests, and choose schools and colleges where they are well-positioned for success. By employing behavioral strategies or "nudges," Castleman shows, administrators, teachers, and parents can dramatically improve educational outcomes from preschool to college. Castleman applies the science of decision making to explain why inequalities persist at various stages in education and to identify innovative solutions to improve students' academic achievement and attainment. By focusing on behavioral changes, Castleman demonstrates that small changes in how we ask questions, design applications, and tailor reminders can have remarkable impacts on student and school success.